AI Is a Tool for Humanity
Why AI is a human tool: practical guidance for responsible AI engineering, including safety, transparency, and measurable real-world impact.
AI engineer building reliable products with DevOps and cloud architecture.
I design and deliver production AI systems with modern DevOps, platform engineering, and cloud-native architecture. Explore recent writing, projects, and hands-on experience shipping dependable software.
Latest blog posts
Recent essays on AI engineering, DevOps, cloud architecture, and practical software delivery.
What is AI Engineering?
What AI engineering means in practice: turning ML demos into trustworthy products with monitoring, reliability, privacy controls, and safe fallbacks.
Continuous Integration and Deployment Explained
CI/CD fundamentals for DevOps teams: continuous integration, automated tests, safe deployment pipelines, and faster, more reliable software delivery.
How Machine Learning Models Work
An intuitive guide to machine learning models: training, evaluation, data quality, overfitting, and monitoring performance in production.
The Role of Cloud Computing in AI
How cloud computing powers AI: scalable infrastructure, cost control, security tradeoffs, and cloud-native MLOps patterns for production workloads.
DevOps Principles for Beginners
A beginner-friendly DevOps primer on shared ownership, automation, rapid feedback loops, and shipping reliable cloud software with confidence.
Work
- Company
- Slalom Consulting, Boston, MA
- Role
- Platform Engineer
- Date
- Company
- VivSoft, Herndon, VA
- Role
- Systems Engineer II
- Date